Baida Jin
Papers
1
Total Citations
7
H-Index
1
About
Baida Jin is a researcher advancing the field of marine robotics and intelligent aquaculture systems. Their work focuses on developing autonomous robotic organisms for precision tasks in marine aquafarms, particularly through innovative path planning algorithms. Jin’s most-cited paper, "Robotic organism targets regional coverage capture path planning for marine aquafarm based on value iteration network" (2023), introduces a value iteration network approach to optimize coverage and capture paths for robotic systems in complex aquatic environments. This contribution addresses critical challenges in sustainable aquaculture, such as efficient monitoring and harvesting, by integrating reinforcement learning with robotic control. With 7 citations in a short time, this work signals growing recognition of Jin’s impact on applied robotics and environmental engineering. Their research bridges artificial intelligence and marine technology, offering scalable solutions for regional coverage tasks. Jin’s achievements highlight a commitment to practical, data-driven innovations that enhance operational efficiency in marine farming, positioning them as an emerging voice in the intersection of robotics, automation, and ecological sustainability.
Research Focus
Key Achievements
Top Papers
- 1